{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:UGCV4HQ4EUQGUIJOPGQJVM7267","short_pith_number":"pith:UGCV4HQ4","canonical_record":{"source":{"id":"1211.2500","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-11-12T02:56:08Z","cross_cats_sorted":[],"title_canon_sha256":"d48aec3881225b4f6af095410f2ffc0204ea4248a81605cf113904d81b280eda","abstract_canon_sha256":"c22396236fb49e4f48b689a8eb15fbfb073560c64e3ec8924de5d4c7658b8b8a"},"schema_version":"1.0"},"canonical_sha256":"a1855e1e1c25206a212e79a09ab3faf7d81f8a74fde170c333bd2df256956250","source":{"kind":"arxiv","id":"1211.2500","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.2500","created_at":"2026-05-18T03:41:03Z"},{"alias_kind":"arxiv_version","alias_value":"1211.2500v1","created_at":"2026-05-18T03:41:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.2500","created_at":"2026-05-18T03:41:03Z"},{"alias_kind":"pith_short_12","alias_value":"UGCV4HQ4EUQG","created_at":"2026-05-18T12:27:23Z"},{"alias_kind":"pith_short_16","alias_value":"UGCV4HQ4EUQGUIJO","created_at":"2026-05-18T12:27:23Z"},{"alias_kind":"pith_short_8","alias_value":"UGCV4HQ4","created_at":"2026-05-18T12:27:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:UGCV4HQ4EUQGUIJOPGQJVM7267","target":"record","payload":{"canonical_record":{"source":{"id":"1211.2500","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-11-12T02:56:08Z","cross_cats_sorted":[],"title_canon_sha256":"d48aec3881225b4f6af095410f2ffc0204ea4248a81605cf113904d81b280eda","abstract_canon_sha256":"c22396236fb49e4f48b689a8eb15fbfb073560c64e3ec8924de5d4c7658b8b8a"},"schema_version":"1.0"},"canonical_sha256":"a1855e1e1c25206a212e79a09ab3faf7d81f8a74fde170c333bd2df256956250","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:41:03.145287Z","signature_b64":"dqph5aVCWMVq8S/XgdCh/zsOQcG9OsKWVG9ec6/1ebnysLuGVEW+kcsf4eevMdiKLhxUeOUrPB7lTWIy0lbkAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a1855e1e1c25206a212e79a09ab3faf7d81f8a74fde170c333bd2df256956250","last_reissued_at":"2026-05-18T03:41:03.144606Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:41:03.144606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1211.2500","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:41:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TsyC7YFyucSXhGzu3nYTj70/ESkOKZ7Qfd8fpRfWja7f5QP5NzSdm6HdFOvqxWeVnj+QsDZAQ2TAbWPWRo/gBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:19:35.397622Z"},"content_sha256":"96d0c2c1600eddd2417dbc68b359b7633e14b1c6a5a2a120c11a1c6d04220d2f","schema_version":"1.0","event_id":"sha256:96d0c2c1600eddd2417dbc68b359b7633e14b1c6a5a2a120c11a1c6d04220d2f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:UGCV4HQ4EUQGUIJOPGQJVM7267","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A New Algorithm Based Entropic Threshold for Edge Detection in Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mohamed A. El-Sayed","submitted_at":"2012-11-12T02:56:08Z","abstract_excerpt":"Edge detection is one of the most critical tasks in automatic image analysis. There exists no universal edge detection method which works well under all conditions. This paper shows the new approach based on the one of the most efficient techniques for edge detection, which is entropy-based thresholding. The main advantages of the proposed method are its robustness and its flexibility. We present experimental results for this method, and compare results of the algorithm against several leading edge detection methods, such as Canny, LOG, and Sobel. Experimental results demonstrate that the prop"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.2500","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T03:41:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZIOG1FhI716aF8wApOsBrRGebGihLGaXZZuGH3F2qYEuGj8jCoGcA7VyGqI+GYW706ZUVAex/cFq7RULgCrmCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T11:19:35.397978Z"},"content_sha256":"e435bf423a120fadaf1305c057ab45460cabb238f1c30631cb04f563c219f466","schema_version":"1.0","event_id":"sha256:e435bf423a120fadaf1305c057ab45460cabb238f1c30631cb04f563c219f466"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UGCV4HQ4EUQGUIJOPGQJVM7267/bundle.json","state_url":"https://pith.science/pith/UGCV4HQ4EUQGUIJOPGQJVM7267/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UGCV4HQ4EUQGUIJOPGQJVM7267/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-01T11:19:35Z","links":{"resolver":"https://pith.science/pith/UGCV4HQ4EUQGUIJOPGQJVM7267","bundle":"https://pith.science/pith/UGCV4HQ4EUQGUIJOPGQJVM7267/bundle.json","state":"https://pith.science/pith/UGCV4HQ4EUQGUIJOPGQJVM7267/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UGCV4HQ4EUQGUIJOPGQJVM7267/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:UGCV4HQ4EUQGUIJOPGQJVM7267","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"c22396236fb49e4f48b689a8eb15fbfb073560c64e3ec8924de5d4c7658b8b8a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-11-12T02:56:08Z","title_canon_sha256":"d48aec3881225b4f6af095410f2ffc0204ea4248a81605cf113904d81b280eda"},"schema_version":"1.0","source":{"id":"1211.2500","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1211.2500","created_at":"2026-05-18T03:41:03Z"},{"alias_kind":"arxiv_version","alias_value":"1211.2500v1","created_at":"2026-05-18T03:41:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.2500","created_at":"2026-05-18T03:41:03Z"},{"alias_kind":"pith_short_12","alias_value":"UGCV4HQ4EUQG","created_at":"2026-05-18T12:27:23Z"},{"alias_kind":"pith_short_16","alias_value":"UGCV4HQ4EUQGUIJO","created_at":"2026-05-18T12:27:23Z"},{"alias_kind":"pith_short_8","alias_value":"UGCV4HQ4","created_at":"2026-05-18T12:27:23Z"}],"graph_snapshots":[{"event_id":"sha256:e435bf423a120fadaf1305c057ab45460cabb238f1c30631cb04f563c219f466","target":"graph","created_at":"2026-05-18T03:41:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Edge detection is one of the most critical tasks in automatic image analysis. There exists no universal edge detection method which works well under all conditions. This paper shows the new approach based on the one of the most efficient techniques for edge detection, which is entropy-based thresholding. The main advantages of the proposed method are its robustness and its flexibility. We present experimental results for this method, and compare results of the algorithm against several leading edge detection methods, such as Canny, LOG, and Sobel. Experimental results demonstrate that the prop","authors_text":"Mohamed A. El-Sayed","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-11-12T02:56:08Z","title":"A New Algorithm Based Entropic Threshold for Edge Detection in Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.2500","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:96d0c2c1600eddd2417dbc68b359b7633e14b1c6a5a2a120c11a1c6d04220d2f","target":"record","created_at":"2026-05-18T03:41:03Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"c22396236fb49e4f48b689a8eb15fbfb073560c64e3ec8924de5d4c7658b8b8a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2012-11-12T02:56:08Z","title_canon_sha256":"d48aec3881225b4f6af095410f2ffc0204ea4248a81605cf113904d81b280eda"},"schema_version":"1.0","source":{"id":"1211.2500","kind":"arxiv","version":1}},"canonical_sha256":"a1855e1e1c25206a212e79a09ab3faf7d81f8a74fde170c333bd2df256956250","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a1855e1e1c25206a212e79a09ab3faf7d81f8a74fde170c333bd2df256956250","first_computed_at":"2026-05-18T03:41:03.144606Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:41:03.144606Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dqph5aVCWMVq8S/XgdCh/zsOQcG9OsKWVG9ec6/1ebnysLuGVEW+kcsf4eevMdiKLhxUeOUrPB7lTWIy0lbkAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:41:03.145287Z","signed_message":"canonical_sha256_bytes"},"source_id":"1211.2500","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:96d0c2c1600eddd2417dbc68b359b7633e14b1c6a5a2a120c11a1c6d04220d2f","sha256:e435bf423a120fadaf1305c057ab45460cabb238f1c30631cb04f563c219f466"],"state_sha256":"bc7cf725de24b2a5fe58ca9648982f23f0aa1ec8e3ae2f3e5e5f97e326a5986c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oFae4yTZkKVC2cY23WjY6wxdAtzt015rdrBhjUqeCh7OftCAhn1UD1t6Qg8i2lhZhom3husdgeJOkryi1MRtDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T11:19:35.399947Z","bundle_sha256":"472e502c174410a8ae5142c30095e021f7f862a878602985169d74bce93b441a"}}